کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
13429891 | 1842349 | 2020 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-timescale coordinated schedule of interdependent electricity-natural gas systems considering electricity grid steady-state and gas network dynamics
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The tight interdependency between electricity and natural gas systems brings new operation challenges to coordinate the two systems for achieving optimized multi-energy supply. The coordinated short-term schedule and real-time dispatch of an integrated electricity-natural gas system (IEGS) with energy coupling components (i.e., P2G (power to gas) assets and gas-fired generators) are proposed. Specifically, in the short-term schedule, electricity generators and gas sources are optimized in a unified model to achieve the minimal operation cost, where prevailing operation constraints related to hourly-scale steady-state power flow and minute-scale gas transmission dynamics are satisfied and extreme wind power scenarios are also considered. In the real-time dispatch, P2G assets and gas-fired generators are optimized to smooth the wind power forecast errors, aiming at mitigating impacts of wind power uncertainties on gas pressures variations. Through real-time dispatch, extreme wind power scenarios which cause violations of gas pressures will be identified and fed back to the short-term schedule problem, seeking for new operation strategies that would mitigate potential gas pressure violations induced by wind power uncertainties in real time. An IEGS, consisting of a 15-node and 14-pipeline natural gas network and a 24-bus and 35-branch power network, is established to validate the proposed approach. Simulation results demonstrate that linepack, P2G, and gas-fired generators can be utilized to effectively enhance operational economics and robustness of IEGS against uncertainties.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 118, June 2020, 105763
Journal: International Journal of Electrical Power & Energy Systems - Volume 118, June 2020, 105763
نویسندگان
Zhejing Bao, Yangli Ye, Lei Wu,